Jobs → Engineering → Full Stack Java Developer

About the Role We are looking for a Senior Full Stack Java Developer to join our team in Fort Mill, SC. This role focuses on building workflow-led, data-heavy interfaces and applications that help operational users configure financial index artifacts. Key Responsibilities • Work on applications that help operational users configure financial index artifacts • Develop workflow-led, data-heavy interfaces with a focus on auditability, approvals, and exception handling • Create dashboarding solutions and integrations across services • Implement secure handling of operational and audit-sensitive data • Utilize AI-assisted and agentic development processes to accelerate prototyping, implementation, testing, documentation, and design exploration Requirements • Strong professional experience delivering full-stack applications in complex enterprise environments • Deep hands-on experience with React and Angular, including component design, state handling, data-driven UIs, accessibility, and performance-conscious front-end development • Strong Java experience with solid Spring Boot / Spring Framework delivery in production systems • Experience building and integrating REST and/or GraphQL APIs • Experience with relational and/or NoSQL data stores, including designing solutions for operational, audit, or workflow-heavy use cases • Experience working with cloud-hosted systems and modern application delivery patterns, ideally in AWS-style environments • Experience with event, queue, or message-based integrations such as Kafka, MQ, SQS/SNS or equivalent patterns • Strong understanding of automated testing across unit, integration, and UI/component layers • Experience with CI/CD pipelines, source control, and modern software delivery practices • Strong verbal and written communication skills, including the ability to explain technical trade-offs to both engineers and non-engineers • Evidence of delivering effectively through ambiguity and taking ownership for outcomes • Practical experience using AI-assisted engineering tools in day-to-day delivery • Clear understanding of agentic development principles, including task decomposition, prompt discipline, validation, guardrails, secure handling of context, and human accountability for outputs